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. 2021 Sep 23:12:668020.
doi: 10.3389/fpls.2021.668020. eCollection 2021.

Genotyping-by-Sequencing Based Genetic Mapping Identified Major and Consistent Genomic Regions for Productivity and Quality Traits in Peanut

Affiliations

Genotyping-by-Sequencing Based Genetic Mapping Identified Major and Consistent Genomic Regions for Productivity and Quality Traits in Peanut

Mangesh P Jadhav et al. Front Plant Sci. .

Abstract

With an objective of identifying the genomic regions for productivity and quality traits in peanut, a recombinant inbred line (RIL) population developed from an elite variety, TMV 2 and its ethyl methane sulfonate (EMS)-derived mutant was phenotyped over six seasons and genotyped with genotyping-by-sequencing (GBS), Arachis hypogaea transposable element (AhTE) and simple sequence repeats (SSR) markers. The genetic map with 700 markers spanning 2,438.1 cM was employed for quantitative trait loci (QTL) analysis which identified a total of 47 main-effect QTLs for the productivity and oil quality traits with the phenotypic variance explained (PVE) of 10-52% over the seasons. A common QTL region (46.7-50.1 cM) on Ah02 was identified for the multiple traits, such as a number of pods per plant (NPPP), pod weight per plant (PWPP), shelling percentage (SP), and test weight (TW). Similarly, a QTL (7.1-18.0 cM) on Ah16 was identified for both SP and protein content (PC). Epistatic QTL (epiQTL) analysis revealed intra- and inter-chromosomal interactions for the main-effect QTLs and other genomic regions governing these productivity traits. The markers identified by a single marker analysis (SMA) mapped to the QTL regions for most of the traits. Among the five potential candidate genes identified for PC, SP and oil quality, two genes (Arahy.7A57YA and Arahy.CH9B83) were affected by AhMITE1 transposition, and three genes (Arahy.J5SZ1I, Arahy.MZJT69, and Arahy.X7PJ8H) involved functional single nucleotide polymorphisms (SNPs). With major and consistent effects, the genomic regions, candidate genes, and the associated markers identified in this study would provide an opportunity for gene cloning and genomics-assisted breeding for increasing the productivity and enhancing the quality of peanut.

Keywords: GBS; QTL validation; SSRs; main and epistatic QTL; peanut; productivity and quality traits; transposable elements.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flow chart of genotyping, high density genetic map construction, multi-season phenotyping, identification of genomic regions for productivity, and quality traits and their validation.
Figure 2
Figure 2
High density genetic map of RIL population of TMV 2 and TMV 2-NLM. (A) Map chart of high density genetic map. (B) Summary of genetic map with number of mapped loci, map distance (cM), and map density (cM/loci). (C) Collinearity of the genetic map with the reference genome (Arachis hypogaea L.). Prefix G and P stands for genetic map and physical map, respectively.
Figure 3
Figure 3
Circos plot illustrating main effect and epistatic (QTL × QTL) QTLs identified for productivity and quality traits in ML population of TMV 2 and TMV 2-NLM of peanut. The tracks from outside to inside indicates (1) 20 chromosomes of tetraploid genome Arachis hypogaea, (2) main effect QTLs for number of pods per plant (NPPP) and linoleic acid (IAN) qNPPP–Ah02-1, qNPPP–Ah04-1, qNPPP–Ah08-1, qNPPP–Ah10-1, qNPPP–Ah12-1, qNPPP–Ah13-1, qNPPP–Ah14-1,qNPPP–Ah14-2, qNPPP–Ah14-3, qLIN–Ah19-1, qLIN–Ah19-2, qLIN–Ah19-3, qLIN–Ah19-4, qLIN–Ah19-5, qLIN–Ah19-6, qLIN–Ah19-7, qLIN–Ah19-8, qLIN–Ah19-9, qLIN–Ah19–10, qLIN–Ah19-11, qLIN–Ah19-12, qLIN–Ah19-13, (3) main effect QTLs for test weight (TW), protein content (PC), and oleic acid content (OLE) qTW–Ah02-1, qTW–Ah02-2, qTW–Ah02-3, qTW–Ah02-4, qTW–Ah03-1, qPC–Ah05-1, qPC–Ah05-2, qPC–Ah05-3, qPC–Ah10-1, qOLE–Ah10-1, qTW–Ah12-1, qTW–Ah12-2, qTW–Ah12-3, qTW–Ah12-4, qPC–Ah16-1, qPC–Ah16-2, qPC–Ah16-3, qOLE–Ah16-1, qOLE–Ah19-1, qOLE–Ah19-2, qOLE–Ah19-3, qOLE–Ah19-4, qOLE–Ah19-5, qOLE–Ah19-6, qOLE–Ah19-7, qOLE–Ah19-8, qOLE–Ah19-9, qOLE–Ah19-10, qOLE–Ah19-11, qOLE–Ah19-12, qTW–Ah20-1, qTW–Ah20-2, qTFV–Ah20-3, (4) main effect QTLs for shelling percentage (SP) and oleic to linoleic ratio (0/L) qSP–Ah01-1, qSP–Ah02-1, qSP–Ah05-1, q5P–Ah09-1, qSP–Ah10-1, qSP–Ah10-2, qSP–Ah11-1, OP–Ah13-1, OP-A/216-1, qO/L–Ah19-1, qO/L–Ah19-2, qO/L–Ah19-3, qO/L–Ah19-4, q0/L–Ah19-5, qO/L–Ah19-6, qO/L–Ah19-7, qO/L–Ah19-8, qO/L–Ah19-9, qO/L–Ah19-10, qO/L–Ah19-11, qO/L–Ah19-12, qO/L–Ah19-13, qSP–Ah20-1, (5) main effect QTLs for oil content (OIL) and pod weight per plant (PWPP). qPWPP–Ah01-1, qPWPP–Ah02-1, qOIL–Ah03-1, qOIL–Ah03-2, qOIL–Ah03-3, qOIL–Ah03-4, qOIL–Ah05-1, qOIL–Ah05-2, qOIL–Ah10-1 qOIL–Ah11-1, qOIL–Ah13-1, qOIL–Ah20-1, qOIL–Ah20-2. Innermost links connecting between the loci indicates the epistatic QTLs for NPPP, PWPP, TW, and SP.

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